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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 2A
DTSTART;TZID=America/Denver:20240729T113500
DTEND;TZID=America/Denver:20240729T114500
UID:siggraph_SIGGRAPH 2024_sess140_papers_719@linklings.com
SUMMARY:Spice-E: Structural Priors in 3D Diffusion Using Cross-Entity Atte
 ntion
DESCRIPTION:Etai Sella, Gal Fiebelman, Noam Atia, and Hadar Averbuch-Elor 
 (Tel Aviv University)\n\nText-to-3D diffusion models can generate high-qua
 lity 3D shapes in seconds, but they are hard to control. In this work we i
 ntroduce Spice-E — a neural network that adds structural guidance to 3D di
 ffusion models, allowing for solving a variety of 3D to 3D tasks with SOTA
  performance.\n\nInterest Area: Research & Education\n\nRecording: Livestr
 eamed, Recorded\n\nKeyword: AI, Geometry, Modeling\n\nRegistration Categor
 y: Full Conference, Full Conference Supporter, Virtual Access, Exhibitor F
 ull Conference, Monday\n\nSession Chair: Angela Dai (Technical University 
 of Munich)\n\n
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